Correlation of Recent Fission Product Release Data

T. Kress, R. Lorenz, T. Nakamura, M. Osborne
{"title":"Correlation of Recent Fission Product Release Data","authors":"T. Kress, R. Lorenz, T. Nakamura, M. Osborne","doi":"10.1201/9781003070344-20","DOIUrl":null,"url":null,"abstract":"For the calculation of source terms associated with severe accidents, it is necessary to model the release of fission products from fuel as it heats and melts. Perhaps the most definitive model for fission product release is that of the FASTGRASS computer code developed at Argonne National Laboratory. There is persuasive evidence that these processes, as well as additional chemical and gas phase mass transport processes, are important in the release of fission products from fuel. Nevertheless, it has been found convenient to have simplified fission product release correlations that may not be as definitive as models like FASTGRASS but which attempt in some simple way to capture the essence of the mechanisms. One of the most widely used such correlation is called CORSOR-M which is the present fission product/aerosol release model used in the NRC Source Term Code Package. CORSOR has been criticized as having too much uncertainty in the calculated releases and as not accurately reproducing some experimental data. It is currently believed that these discrepancies between CORSOR and the more recent data have resulted because of the better time resolution of the more recent data compared to the data base that went into the CORSOR correlation. Thismore » document discusses a simple correlational model for use in connection with NUREG risk uncertainty exercises. 8 refs., 4 figs., 1 tab.« less","PeriodicalId":130450,"journal":{"name":"Fission Product Transport Processes in Reactor Accidents","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fission Product Transport Processes in Reactor Accidents","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9781003070344-20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

For the calculation of source terms associated with severe accidents, it is necessary to model the release of fission products from fuel as it heats and melts. Perhaps the most definitive model for fission product release is that of the FASTGRASS computer code developed at Argonne National Laboratory. There is persuasive evidence that these processes, as well as additional chemical and gas phase mass transport processes, are important in the release of fission products from fuel. Nevertheless, it has been found convenient to have simplified fission product release correlations that may not be as definitive as models like FASTGRASS but which attempt in some simple way to capture the essence of the mechanisms. One of the most widely used such correlation is called CORSOR-M which is the present fission product/aerosol release model used in the NRC Source Term Code Package. CORSOR has been criticized as having too much uncertainty in the calculated releases and as not accurately reproducing some experimental data. It is currently believed that these discrepancies between CORSOR and the more recent data have resulted because of the better time resolution of the more recent data compared to the data base that went into the CORSOR correlation. Thismore » document discusses a simple correlational model for use in connection with NUREG risk uncertainty exercises. 8 refs., 4 figs., 1 tab.« less
最近裂变产物释放数据的相关性
为了计算与严重事故有关的源项,有必要对燃料加热和熔化时裂变产物的释放进行建模。也许最确定的裂变产物释放模型是由阿贡国家实验室开发的FASTGRASS计算机代码。有令人信服的证据表明,这些过程,以及额外的化学和气相质量传递过程,在燃料裂变产物的释放中是重要的。尽管如此,人们发现简化裂变产物释放相关性是很方便的,它可能不像FASTGRASS模型那样确定,但它试图以某种简单的方式捕捉机制的本质。其中最广泛使用的相关性被称为CORSOR-M,这是目前在NRC源术语代码包中使用的裂变产物/气溶胶释放模型。CORSOR被批评为在计算释放中有太多的不确定性,并且不能准确地再现一些实验数据。目前认为,CORSOR与较新的数据之间的这些差异是由于与进入CORSOR相关性的数据库相比,较新的数据具有更好的时间分辨率。本文讨论了一个简单的关联模型,用于NUREG风险不确定性练习。八。参考文献, 4个无花果。, 1页。«少
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信